Mainak Jas

2.0k total citations · 1 hit paper
19 papers, 802 citations indexed

About

Mainak Jas is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mainak Jas has authored 19 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mainak Jas's work include Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (8 papers) and EEG and Brain-Computer Interfaces (7 papers). Mainak Jas is often cited by papers focused on Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (8 papers) and EEG and Brain-Computer Interfaces (7 papers). Mainak Jas collaborates with scholars based in United States, France and Finland. Mainak Jas's co-authors include Alexandre Gramfort, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Matti Hämäläinen, Eric B. Larson, Lauri Parkkonen, Pavan Ramkumar, Sebastian Pannasch and Riitta Hari and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Scientific Reports.

In The Last Decade

Mainak Jas

18 papers receiving 796 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Autoreject: Automated artifact rejection for MEG and EEG data

2017 311 citations Mainak Jas, Denis A. Engemann et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mainak Jas United States	12	666	69	69	64	58	19	802
Pavan Ramkumar United States	15	628 0.9×	75 1.1×	60 0.9×	34 0.5×	111 1.9×	24	791
Gholam‐Ali Hossein‐Zadeh Iran	17	626 0.9×	46 0.7×	67 1.0×	59 0.9×	63 1.1×	89	812
Carsten Allefeld Germany	20	1.1k 1.6×	71 1.0×	95 1.4×	93 1.5×	68 1.2×	37	1.3k
Errikos-Chaim Ventouras Greece	14	359 0.5×	55 0.8×	32 0.5×	83 1.3×	77 1.3×	61	597
Kai Görgen Germany	9	1.1k 1.7×	86 1.2×	106 1.5×	157 2.5×	97 1.7×	18	1.3k
Yodchanan Wongsawat Thailand	17	556 0.8×	163 2.4×	47 0.7×	115 1.8×	113 1.9×	108	896
Junhai Xu China	17	422 0.6×	33 0.5×	87 1.3×	119 1.9×	55 0.9×	76	857
Jürgen Pripfl Austria	10	416 0.6×	39 0.6×	94 1.4×	65 1.0×	42 0.7×	14	696
Tae‐Eui Kam South Korea	11	326 0.5×	72 1.0×	60 0.9×	26 0.4×	43 0.7×	36	468
Xiangguo Yan China	16	615 0.9×	98 1.4×	68 1.0×	47 0.7×	205 3.5×	34	816

Countries citing papers authored by Mainak Jas

Since Specialization

Citations

This map shows the geographic impact of Mainak Jas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mainak Jas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mainak Jas more than expected).

Fields of papers citing papers by Mainak Jas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mainak Jas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mainak Jas. The network helps show where Mainak Jas may publish in the future.

Co-authorship network of co-authors of Mainak Jas

This figure shows the co-authorship network connecting the top 25 collaborators of Mainak Jas. A scholar is included among the top collaborators of Mainak Jas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mainak Jas. Mainak Jas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Jas, Mainak, Chunling Dong, Abbas Sohrabpour, et al.. (2025). Biplanar Nulling Coil System for OPM-MEG Using Printed Circuit Boards. Sensors. 25(9). 2759–2759.

Ahveninen, Jyrki, et al.. (2024). Neuronal modeling of cross-sensory visual evoked magnetoencephalography responses in auditory cortex. Journal of Neuroscience. 44(17). e1119232024–e1119232024. 2 indexed citations

Jas, Mainak, et al.. (2023). Target of selective auditory attention can be robustly followed with MEG. Scientific Reports. 13(1). 10959–10959. 3 indexed citations

Mamashli, Fahimeh, Sheraz Khan, Matti Hämäläinen, et al.. (2021). Synchronization patterns reveal neuronal coding of working memory content. Cell Reports. 36(8). 109566–109566. 16 indexed citations

Meunier, David, Annalisa Pascarella, Mainak Jas, et al.. (2020). NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines. NeuroImage. 219. 117020–117020. 27 indexed citations

Neymotin, Samuel A., Blake Caldwell, Robert A. McDougal, et al.. (2020). Human Neocortical Neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data. eLife. 9. 65 indexed citations

Appelhoff, Stefan, Teon L Brooks, Marijn van Vliet, et al.. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. The Journal of Open Source Software. 4(44). 1896–1896. 68 indexed citations

Jas, Mainak, et al.. (2019). Mammogram segmentation using multi-atlas deformable registration. Computers in Biology and Medicine. 110. 244–253. 14 indexed citations

Combrisson, Etienne, Raphaël Vallat, Christian O’Reilly, et al.. (2019). Visbrain: A Multi-Purpose GPU-Accelerated Open-Source Suite for Multimodal Brain Data Visualization. Frontiers in Neuroinformatics. 13. 14–14. 43 indexed citations

10.

Jas, Mainak, Eric B. Larson, Denis A. Engemann, et al.. (2018). A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices. Frontiers in Neuroscience. 12. 530–530. 70 indexed citations

11.

Niso, Guiomar, Krzysztof J. Gorgolewski, Elizabeth Bock, et al.. (2018). MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data. 5(1). 180110–180110. 88 indexed citations

12.

Jas, Mainak, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, & Alexandre Gramfort. (2017). Autoreject: Automated artifact rejection for MEG and EEG data. NeuroImage. 159. 417–429. 311 indexed citations breakdown →

13.

Bekhti, Yousra, et al.. (2016). M/EEG source localization with multi-scale time-frequency dictionaries. SPIRE - Sciences Po Institutional REpository. 1–4. 1 indexed citations

14.

Jas, Mainak & Devi Parikh. (2015). Image specificity. Computer Vision and Pattern Recognition. 12 indexed citations

15.

Jas, Mainak & Devi Parikh. (2015). Image specificity. 2727–2736. 10 indexed citations

16.

Jas, Mainak, et al.. (2014). Visualizing Armed Groups: The Democratic Republic of the Congo’s M23 in Focus. Stability International Journal of Security and Development. 3(1). 5–5. 1 indexed citations

17.

Jas, Mainak, Sudipta Mukhopadhyay, Jayasree Chakraborty, Anup Sadhu, & Niranjan Khandelwal. (2013). A Heuristic Approach to Automated Nipple Detection in Digital Mammograms. Journal of Digital Imaging. 26(5). 932–940. 15 indexed citations

18.

Ramkumar, Pavan, Mainak Jas, Sebastian Pannasch, Riitta Hari, & Lauri Parkkonen. (2013). Feature-Specific Information Processing Precedes Concerted Activation in Human Visual Cortex. Journal of Neuroscience. 33(18). 7691–7699. 55 indexed citations

19.

Jas, Mainak, et al.. (2012). An atlas based approach to segmenting MLO view mammograms. 9. 7–11. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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